Raspberry Pi 4 vs. Intel Comet Lake

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Date
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  Test
  Duration
Raspberry Pi 4
July 29 2020
  13 Hours, 13 Minutes
Core i3 10100
July 30 2020
  2 Hours, 32 Minutes
Pentium Gold G6400
July 31 2020
  3 Hours, 3 Minutes
Celeron G5900
July 31 2020
  3 Hours, 32 Minutes
Intel Core i5-8500T
March 24
  3 Hours, 31 Minutes
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  5 Hours, 10 Minutes

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Raspberry Pi 4 vs. Intel Comet LakeProcessorMotherboardMemoryDiskGraphicsMonitorChipsetAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionSystem LayerRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500TARMv7 Cortex-A72 @ 1.50GHz (4 Cores)BCM2711 Raspberry Pi 4 Model B Rev 1.12048MB32GB SC32GV3D 4.2 2GBVA2431Raspbian 105.4.51-v7l+ (armv7l)LXDE 0.10.0X Server 1.20.4modesetting 1.20.42.1 Mesa 19.3.2GCC 8.3.0ext41920x1080Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Gigabyte B460M DS3H (F2 BIOS)Intel Device 9b6316GB500GB Western Digital WDS500G3X0C-00SJG0EFI VGARealtek ALC887-VDRealtek RTL8111/8168/8411Debian 104.19.0-9-amd64 (x86_64)1024x768Intel Pentium Gold G6400 @ 4.00GHz (2 Cores / 4 Threads)Intel Device 9b73Intel Celeron G5900 @ 3.40GHz (2 Cores)Intel Core i5-8500T (6 Cores)QEMU Standard PC (i440FX + PIIX 1996) (rel-1.13.0-48-gd9c812dda519-prebuilt.qemu.org BIOS)44GB1006GBbochs-drmdrmfbQEMU MonitorUbuntu 20.04.1 LTS5.8.0-45-generic (x86_64)bochs-drmdrmfbGCC 9.3.0overlayfsDockerOpenBenchmarking.orgKernel Details- Raspberry Pi 4: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1 snd_bcm2835.enable_headphones=1- Intel Core i5-8500T: Transparent Huge Pages: madviseCompiler Details- Raspberry Pi 4: --build=arm-linux-gnueabihf --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-sjlj-exceptions --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch=armv6 --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfp --with-gcc-major-version-only --with-target-system-zlib -v - Core i3 10100: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Pentium Gold G6400: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Celeron G5900: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Intel Core i5-8500T: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Raspberry Pi 4: Scaling Governor: cpufreq-dt ondemand- Core i3 10100: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- Pentium Gold G6400: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- Celeron G5900: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- Intel Core i5-8500T: CPU Microcode: 0x1Java Details- Raspberry Pi 4: OpenJDK Runtime Environment (build 11.0.8+10-post-Raspbian-1deb10u1)- Core i3 10100: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)- Pentium Gold G6400: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)- Celeron G5900: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)- Intel Core i5-8500T: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Details- Raspberry Pi 4: Python 2.7.16 + Python 3.7.3- Core i3 10100: Python 2.7.16 + Python 3.7.3- Pentium Gold G6400: Python 2.7.16 + Python 3.7.3- Celeron G5900: Python 2.7.16 + Python 3.7.3- Intel Core i5-8500T: Python 3.8.5Security Details- Core i3 10100: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Pentium Gold G6400: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Celeron G5900: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Intel Core i5-8500T: itlb_multihit: Not affected + l1tf: Mitigation of PTE Inversion; VMX: flush not necessary SMT disabled + mds: Vulnerable: Clear buffers attempted no microcode; SMT Host state unknown + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Unknown: Dependent on hypervisor status + tsx_async_abort: Vulnerable: Clear buffers attempted no microcode; SMT Host state unknown

Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500TResult OverviewPhoronix Test Suite 10.6.1100%429%759%1088%1418%XZ CompressionTimed GDB GNU Debugger Compilation7-Zip CompressionTimed MPlayer CompilationPolyBench-CGraphicsMagickTimed Apache CompilationRawTherapeeTimed HMMer SearchTimed PHP CompilationPHPBenchDaCapo BenchmarkPerl BenchmarksHuginScikit-LearnLAMMPS Molecular Dynamics SimulatorSmallptlibrsvgInkscapePyBenchCoremarkLAME MP3 EncodingC-RayGEGLlibjpeg-turbo tjbenchTSCPAOBenchSQLite SpeedtestNumpy BenchmarkOpenSSLFLAC Audio EncodingTTSIOD 3D RendererPyPerformance

Raspberry Pi 4 vs. Intel Comet Lakecompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9graphics-magick: Resizingocrmypdf: Processing 60 Page PDF Documentbuild-gdb: Time To Compilecompress-7zip: Compress Speed Testpyperformance: pathlibbuild-mplayer: Time To Compilebuild-apache: Time To Compilerawtherapee: Total Benchmark Timegimp: unsharp-maskhmmer: Pfam Database Searchbuild-php: Time To Compilephpbench: PHP Benchmark Suitehugin: Panorama Photo Assistant + Stitching Timegegl: Scalescikit-learn: pyperformance: floatgimp: auto-levelslammps: Rhodopsin Proteingegl: Cartoonpyperformance: json_loadsgraphics-magick: Enhancedgegl: Cropgegl: Rotate 90 Degreespyperformance: regex_compilegegl: Color Enhancesmallpt: Global Illumination Renderer; 128 Samplesrsvg: SVG Files To PNGpyperformance: python_startupperl-benchmark: Pod2htmlinkscape: SVG Files To PNGpybench: Total For Average Test Timesgraphics-magick: Swirltesseract-ocr: Time To OCR 7 Imagescoremark: CoreMark Size 666 - Iterations Per Secondgegl: Antialiasgegl: Tile Glassgegl: Wavelet Blurencode-mp3: WAV To MP3dacapobench: Tradebeansc-ray: Total Time - 4K, 16 Rays Per Pixelgraphics-magick: Sharpentjbench: Decompression Throughputtscp: AI Chess Performanceaobench: 2048 x 2048 - Total Timegegl: Reflectpyperformance: 2to3octave-benchmark: polybench-c: Covariance Computationpolybench-c: Correlation Computationnumpy: openssl: RSA 4096-bit Performanceaircrack-ng: graphics-magick: Rotateencode-flac: WAV To FLACgraphics-magick: HWB Color Spacettsiod-renderer: Phong Rendering With Soft-Shadow Mappinglibreoffice: 20 Documents To PDFtesseract-ocr: Time To OCR 7 Imagesoctave-benchmark: ocrmypdf: Processing 60 Page PDF Documentgimp: unsharp-maskgimp: auto-levelsgimp: rotategimp: resizeperl-benchmark: Interpretermafft: Multiple Sequence Alignmentpolybench-c: 3 Matrix Multiplicationsgimp: rotategimp: resizesqlite-speedtest: Timed Time - Size 1,000graphics-magick: Noise-Gaussiandacapobench: Jythondacapobench: H2Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T416.90748376.428970.5373466142543.837180.753748.0224.34553.889638.584102546471.41336.87579.1126294.2910.499647.5481441650.874246.618962341.548130.18077.22242.50.61497660137.212523534136.50433030.557108214.859161.312326.60641.58721087680.0801549.657148350771123.69214.9881.79100.38931.01531.02126.5497.61162.34785109.3718325.44795.7510.0071441322.51424.9104.3894.576766.55016343671438542.48843744.347118.8742750017.969.21824.444104.10824.9687.43888.57872984568.3675.47827.06795.720.7803.219105.90023.6928.52741.73416759.44122.80213.5517.490.1087291224.34794518725.010179882.44238640.70130.74462.3728.122157.06860205.777836137625832.74731.1403046.167375.551253.215519.07311348.420933262.0977.5100.001088943.8553.33817.5998.72854.2461174151314669.30724689.362178.8031503319.5128.70137.116147.97726.37112.846143.93566854096.5096.23629.55410423.1981.657117.13425.5459.50947.59218064.27646.45313.8787.960.1188449825.71910209430.87188892.09742747.34133.04368.4788.6674135322.19130172.928584126849235.17933.5383286.605336.12389.32812.61510579.456519132.5568.0640.000758726.5933.83218.87810.64865.1505554823375123.883197121.326274.528792023.6198.33554.742213.38331.52919.579220.076568837140.3947.22934.69312327.6851.381137.54430.13710.89356.29321275.07074.58516.4529.80.1400580530.61611996554.79853412.28198256.74138.37379.50410.181400.34825147.209265107869041.54639.4313977.6332.1682.170282.42315.02346.78387311.10841976.43989.7390.001015319.4174.44622.12513.14782.015396084361666.370457190.9392067131.691.94839.793102.6777.567123.77547602279.5758.85111.9291793.181136.40729.99712.22558.12926687.10627.77226.89812.20.1639812928.2901835172143584.30377957.42545.25793.35210.4414170144.01065152.164424105195141.13744.99450516.89416.805277.541336.159314.668632223.23730.9029.34651.06920.82219.80717.48512.9010.001514824.851103.13210755593719OpenBenchmarking.org

XZ Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 490180270360450SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.92, N = 3123.8842.4966.3769.31405.921. (CC) gcc options: -pthread -fvisibility=hidden -O2
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterXZ Compression 5.2.4Performance Per Core - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4400800120016002000247.77169.95398.22138.611667.631. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterXZ Compression 5.2.4Performance Per Thread - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4400800120016002000247.77339.90398.22277.231667.631. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterXZ Compression 5.2.4Performance Per Clock - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Celeron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4140280420560700421.20182.70277.23625.361. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 470140210280350Min: 123.8 / Avg: 123.88 / Max: 123.99Min: 42.36 / Avg: 42.49 / Max: 42.59Min: 66.21 / Avg: 66.37 / Max: 66.54Min: 69.13 / Avg: 69.31 / Max: 69.64Min: 404.69 / Avg: 405.91 / Max: 407.711. (CC) gcc options: -pthread -fvisibility=hidden -O2

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4100200300400500SE +/- 0.88, N = 3SE +/- 1.45, N = 3SE +/- 0.58, N = 319743745724648-lSM -lICE-lSM -lICE-lSM -lICE-lSM -lICE-lfreetype -lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: ResizingCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430609012015098.50109.2576.17123.0012.001. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: ResizingCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42040608010098.5054.6376.1761.5012.001. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: ResizingCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42040608010057.94101.6361.5032.001. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 480160240320400Min: 436 / Avg: 437.33 / Max: 439Min: 455 / Avg: 457.33 / Max: 460Min: 245 / Avg: 246 / Max: 2471. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 8.0.1+dfsgProcessing 60 Page PDF DocumentCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 480160240320400SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.63, N = 3121.3344.3589.36376.43
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterOCRMyPDF 8.0.1+dfsgPerformance Per Core - Processing 60 Page PDF DocumentCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 430060090012001500242.65177.39178.721505.711. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterOCRMyPDF 8.0.1+dfsgPerformance Per Thread - Processing 60 Page PDF DocumentCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 430060090012001500242.65354.78357.451505.711. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterOCRMyPDF 8.0.1+dfsgPerformance Per Clock - Processing 60 Page PDF DocumentCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4120240360480600412.51190.69357.45564.641. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 8.0.1+dfsgProcessing 60 Page PDF DocumentCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 470140210280350Min: 121.23 / Avg: 121.33 / Max: 121.49Min: 44.29 / Avg: 44.35 / Max: 44.39Min: 89.32 / Avg: 89.36 / Max: 89.43Min: 375.21 / Avg: 376.43 / Max: 377.32

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.86, N = 3SE +/- 0.11, N = 3SE +/- 2.81, N = 3274.53118.87190.94178.80970.54
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Performance Per Core - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 48001600240032004000549.06475.501145.63357.613882.151. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Performance Per Thread - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 48001600240032004000549.06950.991145.63715.213882.151. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Performance Per Clock - Time To CompileCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 430060090012001500933.40511.16715.211455.811. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000Min: 274.32 / Avg: 274.53 / Max: 274.87Min: 118.54 / Avg: 118.87 / Max: 119.22Min: 189.49 / Avg: 190.94 / Max: 192.45Min: 178.58 / Avg: 178.8 / Max: 178.96Min: 967.36 / Avg: 970.54 / Max: 976.15

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 46K12K18K24K30KSE +/- 25.67, N = 3SE +/- 193.55, N = 3SE +/- 43.50, N = 3SE +/- 17.03, N = 3SE +/- 2.60, N = 3792027500206711503334661. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS Per Core, More Is Better7-Zip Compression 16.02Performance Per Core - Compress Speed TestCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4160032004800640080003960.006875.003445.177516.50866.501. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgMIPS Per Thread, More Is Better7-Zip Compression 16.02Performance Per Thread - Compress Speed TestCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 480016002400320040003960.003437.503445.173758.25866.501. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgMIPS Per GHz, More Is Better7-Zip Compression 16.02Performance Per Clock - Compress Speed TestCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4140028004200560070002329.416395.353758.252310.671. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45K10K15K20K25KMin: 7869 / Avg: 7920.33 / Max: 7947Min: 27125 / Avg: 27500.33 / Max: 27770Min: 20603 / Avg: 20671 / Max: 20752Min: 14999 / Avg: 15032.67 / Max: 15054Min: 3462 / Avg: 3466.33 / Max: 34711. (CXX) g++ options: -pipe -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 323.617.931.619.5142.0
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: pathlibCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 412024036048060047.271.6189.639.0568.01. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: pathlibCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 412024036048060047.2143.2189.678.0568.01. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: pathlibCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 45010015020025080.2476.9778.00213.001. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150Min: 23.6 / Avg: 23.6 / Max: 23.6Min: 17.9 / Avg: 17.9 / Max: 17.9Min: 31.4 / Avg: 31.6 / Max: 31.9Min: 19.4 / Avg: 19.47 / Max: 19.5

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4120240360480600SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3198.3469.2291.95128.70543.84
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed MPlayer Compilation 1.4Performance Per Core - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45001000150020002500396.67276.87551.69257.402175.351. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed MPlayer Compilation 1.4Performance Per Thread - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45001000150020002500396.67553.74551.69514.802175.351. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed MPlayer Compilation 1.4Performance Per Clock - Time To CompileCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42004006008001000674.34297.64514.80815.761. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4100200300400500Min: 198.23 / Avg: 198.34 / Max: 198.44Min: 69.19 / Avg: 69.22 / Max: 69.26Min: 91.72 / Avg: 91.95 / Max: 92.26Min: 128.67 / Avg: 128.7 / Max: 128.75Min: 543.74 / Avg: 543.84 / Max: 544.01

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 44080120160200SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.33, N = 3SE +/- 0.02, N = 3SE +/- 0.64, N = 354.7424.4439.7937.12180.75
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed Apache Compilation 2.4.41Performance Per Core - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4160320480640800109.4897.78238.7674.23723.011. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed Apache Compilation 2.4.41Performance Per Thread - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4160320480640800109.48195.55238.76148.46723.011. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed Apache Compilation 2.4.41Performance Per Clock - Time To CompileCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 460120180240300186.12105.11148.46271.131. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150Min: 54.7 / Avg: 54.74 / Max: 54.77Min: 24.38 / Avg: 24.44 / Max: 24.48Min: 39.39 / Avg: 39.79 / Max: 40.45Min: 37.07 / Avg: 37.12 / Max: 37.15Min: 179.48 / Avg: 180.75 / Max: 181.54

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4160320480640800SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.38, N = 3SE +/- 0.00, N = 3SE +/- 1.42, N = 3213.38104.11102.68147.98748.021. Celeron G5900: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 2. Core i3 10100: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 3. Intel Core i5-8500T: RawTherapee, version 5.8, command line.4. Pentium Gold G6400: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 5. Raspberry Pi 4: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line.
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRawTherapeePerformance Per Core - Total Benchmark TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 46001200180024003000426.77416.43616.06295.952992.091. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterRawTherapeePerformance Per Thread - Total Benchmark TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 46001200180024003000426.77832.86616.06591.912992.091. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterRawTherapeePerformance Per Clock - Total Benchmark TimeCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42004006008001000725.50447.66591.911122.031. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4130260390520650Min: 213.21 / Avg: 213.38 / Max: 213.51Min: 104.07 / Avg: 104.11 / Max: 104.15Min: 102.2 / Avg: 102.68 / Max: 103.43Min: 147.97 / Avg: 147.98 / Max: 147.98Min: 746.16 / Avg: 748.02 / Max: 750.81. Celeron G5900: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 2. Core i3 10100: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 3. Intel Core i5-8500T: RawTherapee, version 5.8, command line.4. Pentium Gold G6400: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 5. Raspberry Pi 4: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line.

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: unsharp-maskCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4714212835SE +/- 0.013, N = 3SE +/- 0.016, N = 3SE +/- 0.014, N = 3SE +/- 0.048, N = 331.52924.96826.3714.345
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.10.8Performance Per Core - Test: unsharp-maskCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42040608010063.0699.8752.7417.381. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGIMP 2.10.8Performance Per Thread - Test: unsharp-maskCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4408012016020063.06199.74105.4817.381. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.10.8Performance Per Clock - Test: unsharp-maskCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 420406080100107.199107.362105.4846.5181. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: unsharp-maskCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4714212835Min: 31.51 / Avg: 31.53 / Max: 31.56Min: 24.94 / Avg: 24.97 / Max: 25Min: 26.35 / Avg: 26.37 / Max: 26.4Min: 4.27 / Avg: 4.35 / Max: 4.43

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 2.3.2Pfam Database SearchCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 41224364860SE +/- 0.023, N = 3SE +/- 0.064, N = 3SE +/- 0.030, N = 3SE +/- 0.070, N = 3SE +/- 0.423, N = 319.5797.4387.56712.84653.8891. (CC) gcc options: -O2 -pthread -lhmmer -lsquid -lm
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed HMMer Search 2.3.2Performance Per Core - Pfam Database SearchCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45010015020025039.1629.7545.4025.69215.561. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed HMMer Search 2.3.2Performance Per Thread - Pfam Database SearchCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45010015020025039.1659.5045.4051.38215.561. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed HMMer Search 2.3.2Performance Per Clock - Pfam Database SearchCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42040608010066.5731.9851.3880.831. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 2.3.2Pfam Database SearchCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 41122334455Min: 19.54 / Avg: 19.58 / Max: 19.62Min: 7.31 / Avg: 7.44 / Max: 7.53Min: 7.51 / Avg: 7.57 / Max: 7.6Min: 12.71 / Avg: 12.85 / Max: 12.95Min: 53.44 / Avg: 53.89 / Max: 54.731. (CC) gcc options: -O2 -pthread -lhmmer -lsquid -lm

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4140280420560700SE +/- 0.33, N = 3SE +/- 0.11, N = 3SE +/- 1.13, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3220.0888.58123.78143.94636.52
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed PHP Compilation 7.4.2Performance Per Core - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45001000150020002500440.15354.31742.65287.872554.341. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed PHP Compilation 7.4.2Performance Per Thread - Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45001000150020002500440.15708.62742.65575.742554.341. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed PHP Compilation 7.4.2Performance Per Clock - Time To CompileCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42004006008001000748.26380.89575.74957.881. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4110220330440550Min: 219.42 / Avg: 220.08 / Max: 220.5Min: 88.38 / Avg: 88.58 / Max: 88.77Min: 122.54 / Avg: 123.77 / Max: 126.02Min: 143.82 / Avg: 143.94 / Max: 144.06Min: 636.15 / Avg: 636.52 / Max: 636.89

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4160K320K480K640K800KSE +/- 406.11, N = 3SE +/- 388.23, N = 3SE +/- 2497.49, N = 3SE +/- 1130.88, N = 3SE +/- 299.00, N = 3568837729845476022668540102546
OpenBenchmarking.orgScore Per Core, More Is BetterPHPBench 0.8.1Performance Per Core - PHP Benchmark SuiteCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 470K140K210K280K350K284418.50182461.2579337.00334270.0025636.501. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgScore Per Thread, More Is BetterPHPBench 0.8.1Performance Per Thread - PHP Benchmark SuiteCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 460K120K180K240K300K284418.5091230.6379337.00167135.0025636.501. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgScore Per GHz, More Is BetterPHPBench 0.8.1Performance Per Clock - PHP Benchmark SuiteCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 440K80K120K160K200K167305.0169731.4167135.068364.01. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4130K260K390K520K650KMin: 568307 / Avg: 568837 / Max: 569635Min: 729069 / Avg: 729845.33 / Max: 730246Min: 471554 / Avg: 476021.67 / Max: 480190Min: 666686 / Avg: 668540.33 / Max: 670589Min: 101948 / Avg: 102546 / Max: 102845

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4100200300400500SE +/- 0.19, N = 3SE +/- 0.22, N = 3SE +/- 0.42, N = 3SE +/- 0.31, N = 3SE +/- 1.15, N = 3140.3968.3779.5896.51471.41
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterHuginPerformance Per Core - Panorama Photo Assistant + Stitching TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4400800120016002000280.79273.47477.45193.021885.651. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterHuginPerformance Per Thread - Panorama Photo Assistant + Stitching TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4400800120016002000280.79546.94477.45386.041885.651. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterHuginPerformance Per Clock - Panorama Photo Assistant + Stitching TimeCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4150300450600750477.34293.98386.04707.121. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 480160240320400Min: 140.02 / Avg: 140.39 / Max: 140.64Min: 68.14 / Avg: 68.37 / Max: 68.8Min: 78.8 / Avg: 79.58 / Max: 80.24Min: 95.94 / Avg: 96.51 / Max: 96.98Min: 469.76 / Avg: 471.41 / Max: 473.63

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4816243240SE +/- 0.003, N = 3SE +/- 0.034, N = 3SE +/- 0.106, N = 3SE +/- 0.047, N = 3SE +/- 0.098, N = 37.2295.4788.8516.23636.875
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: ScaleCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430609012015014.4621.9153.1112.47147.501. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: ScaleCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430609012015014.4643.8253.1124.94147.501. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: ScaleCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4122436486024.5823.5624.9455.311. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4816243240Min: 7.23 / Avg: 7.23 / Max: 7.24Min: 5.42 / Avg: 5.48 / Max: 5.54Min: 8.65 / Avg: 8.85 / Max: 9Min: 6.19 / Avg: 6.24 / Max: 6.33Min: 36.68 / Avg: 36.88 / Max: 36.98

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 420406080100SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 334.6927.0711.9329.5579.11
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterScikit-Learn 0.22.1Performance Per CoreCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 47014021028035069.39108.2771.5759.11316.451. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterScikit-Learn 0.22.1Performance Per ThreadCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 47014021028035069.39216.5471.57118.22316.451. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterScikit-Learn 0.22.1Performance Per ClockCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4306090120150117.96116.39118.22118.671. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 41530456075Min: 34.67 / Avg: 34.69 / Max: 34.73Min: 27.02 / Avg: 27.07 / Max: 27.15Min: 11.76 / Avg: 11.93 / Max: 12.05Min: 29.53 / Avg: 29.55 / Max: 29.59Min: 78.85 / Avg: 79.11 / Max: 79.49

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4140280420560700SE +/- 0.06, N = 3SE +/- 0.33, N = 3123.095.7179.0104.0629.0
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: floatCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45001000150020002500246.0382.81074.0208.02516.01. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: floatCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 45001000150020002500246.0765.61074.0416.02516.01. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: floatCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42004006008001000418.20411.51416.00943.501. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4110220330440550Min: 95.6 / Avg: 95.7 / Max: 95.8Min: 179 / Avg: 179.33 / Max: 180

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: auto-levelsCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4714212835SE +/- 0.012, N = 3SE +/- 0.063, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 327.68520.78023.1984.291
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.10.8Performance Per Core - Test: auto-levelsCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42040608010055.3783.1246.4017.161. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGIMP 2.10.8Performance Per Thread - Test: auto-levelsCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4408012016020055.37166.2492.7917.161. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.10.8Performance Per Clock - Test: auto-levelsCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42040608010094.12989.35492.7926.4371. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: auto-levelsCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4612182430Min: 27.66 / Avg: 27.68 / Max: 27.71Min: 20.71 / Avg: 20.78 / Max: 20.91Min: 23.19 / Avg: 23.2 / Max: 23.21Min: 4.28 / Avg: 4.29 / Max: 4.32

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 40.72431.44862.17292.89723.6215SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.031, N = 6SE +/- 0.006, N = 3SE +/- 0.001, N = 31.3813.2193.1811.6570.499-fopenmp-fopenmp-fopenmp-fopenmp1. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm
OpenBenchmarking.orgns/day Per Core, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Performance Per Core - Model: Rhodopsin ProteinCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 40.18640.37280.55920.74560.9320.69050.80480.53020.82850.12481. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgns/day Per Thread, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Performance Per Thread - Model: Rhodopsin ProteinCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 40.15540.31080.46620.62160.7770.69050.40240.53020.41430.12481. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgns/day Per GHz, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Performance Per Clock - Model: Rhodopsin ProteinCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 40.16840.33680.50520.67360.8420.40620.74860.41430.33271. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4246810Min: 1.38 / Avg: 1.38 / Max: 1.39Min: 3.2 / Avg: 3.22 / Max: 3.23Min: 3.03 / Avg: 3.18 / Max: 3.24Min: 1.65 / Avg: 1.66 / Max: 1.67Min: 0.5 / Avg: 0.5 / Max: 0.51. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4140280420560700SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 3.12, N = 3137.54105.90136.41117.13647.55
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: CartoonCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 46001200180024003000275.09423.60818.44234.272590.191. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: CartoonCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 46001200180024003000275.09847.20818.44468.542590.191. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: CartoonCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42004006008001000467.65455.37468.54971.321. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4110220330440550Min: 137.34 / Avg: 137.54 / Max: 137.69Min: 105.7 / Avg: 105.9 / Max: 106.22Min: 136.16 / Avg: 136.41 / Max: 136.66Min: 116.77 / Avg: 117.13 / Max: 117.55Min: 642.55 / Avg: 647.55 / Max: 653.28

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.58, N = 330.123.629.925.5144.0
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: json_loadsCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 412024036048060060.294.4179.451.0576.01. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: json_loadsCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 412024036048060060.2188.8179.4102.0576.01. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: json_loadsCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 450100150200250102.34101.48102.00216.001. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150Min: 30 / Avg: 30.07 / Max: 30.1Min: 23.6 / Avg: 23.63 / Max: 23.7Min: 29.8 / Avg: 29.9 / Max: 30Min: 25.5 / Avg: 25.53 / Max: 25.6Min: 143 / Avg: 144 / Max: 145

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 420406080100SE +/- 0.33, N = 33792974516-lSM -lICE-lSM -lICE-lSM -lICE-lSM -lICE-lfreetype -lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: EnhancedCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 461218243018.5023.0016.1722.504.001. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: EnhancedCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 451015202518.5011.5016.1711.254.001. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: EnhancedCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 451015202510.8821.4011.2510.671. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 420406080100Min: 97 / Avg: 97.33 / Max: 981. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 41122334455SE +/- 0.071, N = 3SE +/- 0.046, N = 3SE +/- 0.106, N = 3SE +/- 0.082, N = 3SE +/- 0.677, N = 410.8938.52712.2259.50950.874
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: CropCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4408012016020021.7934.1173.3519.02203.501. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: CropCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4408012016020021.7968.2273.3538.04203.501. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: CropCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42040608010037.0436.6738.0476.311. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 41020304050Min: 10.82 / Avg: 10.89 / Max: 11.04Min: 8.48 / Avg: 8.53 / Max: 8.62Min: 12.11 / Avg: 12.22 / Max: 12.44Min: 9.4 / Avg: 9.51 / Max: 9.67Min: 49.97 / Avg: 50.87 / Max: 52.89

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 450100150200250SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.40, N = 356.2941.7358.1347.59246.62
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Rotate 90 DegreesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000112.59166.94348.7795.18986.471. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Rotate 90 DegreesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000112.59333.87348.77190.37986.471. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Rotate 90 DegreesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 480160240320400191.40179.46190.37369.931. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 44080120160200Min: 56.24 / Avg: 56.29 / Max: 56.36Min: 41.68 / Avg: 41.73 / Max: 41.84Min: 57.75 / Avg: 58.13 / Max: 58.35Min: 47.44 / Avg: 47.59 / Max: 47.82Min: 245.86 / Avg: 246.62 / Max: 247.24

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000SE +/- 0.58, N = 3212167266180962
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: regex_compileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 48001600240032004000424668159636038481. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: regex_compileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 480016002400320040004241336159672038481. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: regex_compileCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 430060090012001500720.8718.1720.01443.01. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000Min: 961 / Avg: 962 / Max: 963

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 470140210280350SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 1.03, N = 375.0759.4487.1164.28341.55
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Color EnhanceCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430060090012001500150.14237.76522.64128.551366.191. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Color EnhanceCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430060090012001500150.14475.53522.64257.101366.191. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Color EnhanceCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4110220330440550255.24255.60257.10512.321. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 460120180240300Min: 74.99 / Avg: 75.07 / Max: 75.2Min: 59.41 / Avg: 59.44 / Max: 59.48Min: 86.71 / Avg: 87.11 / Max: 87.52Min: 64.2 / Avg: 64.28 / Max: 64.35Min: 339.63 / Avg: 341.55 / Max: 343.17

Smallpt

Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 1.07, N = 374.5922.8027.7746.45130.181. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterSmallpt 1.0Performance Per Core - Global Illumination Renderer; 128 SamplesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4110220330440550149.1791.21166.6392.91520.721. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterSmallpt 1.0Performance Per Thread - Global Illumination Renderer; 128 SamplesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4110220330440550149.17182.42166.63185.81520.721. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterSmallpt 1.0Performance Per Clock - Global Illumination Renderer; 128 SamplesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 460120180240300253.5998.05185.81195.271. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 420406080100Min: 74.55 / Avg: 74.59 / Max: 74.62Min: 22.79 / Avg: 22.8 / Max: 22.83Min: 27.74 / Avg: 27.77 / Max: 27.79Min: 46.41 / Avg: 46.45 / Max: 46.51Min: 129.11 / Avg: 130.18 / Max: 132.321. (CXX) g++ options: -fopenmp -O3

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 420406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.99, N = 316.4513.5526.9013.8877.221. Celeron G5900: rsvg-convert version 2.44.102. Core i3 10100: rsvg-convert version 2.44.103. Intel Core i5-8500T: rsvg-convert version 2.48.94. Pentium Gold G6400: rsvg-convert version 2.44.105. Raspberry Pi 4: rsvg-convert version 2.44.10
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterlibrsvgPerformance Per Core - Operation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 47014021028035032.9054.20161.3927.76308.891. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterlibrsvgPerformance Per Thread - Operation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 47014021028035032.90108.41161.3955.51308.891. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterlibrsvgPerformance Per Clock - Operation: SVG Files To PNGCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 430609012015055.9458.2755.51115.831. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 41530456075Min: 16.43 / Avg: 16.45 / Max: 16.5Min: 13.52 / Avg: 13.55 / Max: 13.59Min: 26.59 / Avg: 26.9 / Max: 27.12Min: 13.87 / Avg: 13.88 / Max: 13.9Min: 75.86 / Avg: 77.22 / Max: 79.141. Celeron G5900: rsvg-convert version 2.44.102. Core i3 10100: rsvg-convert version 2.44.103. Intel Core i5-8500T: rsvg-convert version 2.48.94. Pentium Gold G6400: rsvg-convert version 2.44.105. Raspberry Pi 4: rsvg-convert version 2.44.10

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 41020304050SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 39.807.4912.207.9642.50
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: python_startupCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4408012016020019.6029.9673.2015.92170.001. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: python_startupCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4408012016020019.6059.9273.2031.84170.001. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: python_startupCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4142842567033.3232.2131.8463.751. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4918273645Min: 9.8 / Avg: 9.8 / Max: 9.8Min: 7.48 / Avg: 7.49 / Max: 7.5Min: 12.2 / Avg: 12.23 / Max: 12.3Min: 7.96 / Avg: 7.96 / Max: 7.96Min: 42.4 / Avg: 42.47 / Max: 42.5

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 40.13840.27680.41520.55360.692SE +/- 0.00027382, N = 3SE +/- 0.00010435, N = 3SE +/- 0.00079799, N = 3SE +/- 0.00029058, N = 3SE +/- 0.00185361, N = 30.140058050.108729120.163981290.118844980.61497660
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPerl BenchmarksPerformance Per Core - Test: Pod2htmlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 40.55351.1071.66052.2142.76750.2800.4350.9840.2382.4601. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPerl BenchmarksPerformance Per Thread - Test: Pod2htmlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 40.55351.1071.66052.2142.76750.2800.8700.9840.4752.4601. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterPerl BenchmarksPerformance Per Clock - Test: Pod2htmlCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 40.20750.4150.62250.831.03750.4760.4680.4750.9221. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4246810Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.61 / Avg: 0.61 / Max: 0.62

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.66, N = 330.6224.3528.2925.72137.211. Celeron G5900: Inkscape 0.92.4 (5da689c313, 2019-01-14)2. Core i3 10100: Inkscape 0.92.4 (5da689c313, 2019-01-14)3. Intel Core i5-8500T: Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)4. Pentium Gold G6400: Inkscape 0.92.4 (5da689c313, 2019-01-14)5. Raspberry Pi 4: Inkscape 0.92.4 (5da689c313, 2019-01-14)
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterInkscapePerformance Per Core - Operation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 412024036048060061.2397.39169.7451.44548.851. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterInkscapePerformance Per Thread - Operation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 412024036048060061.23194.78169.74102.88548.851. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterInkscapePerformance Per Clock - Operation: SVG Files To PNGCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 450100150200250104.09104.69102.88205.821. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150Min: 30.58 / Avg: 30.62 / Max: 30.69Min: 24.33 / Avg: 24.35 / Max: 24.36Min: 28.19 / Avg: 28.29 / Max: 28.44Min: 25.68 / Avg: 25.72 / Max: 25.78Min: 136.47 / Avg: 137.21 / Max: 138.531. Celeron G5900: Inkscape 0.92.4 (5da689c313, 2019-01-14)2. Core i3 10100: Inkscape 0.92.4 (5da689c313, 2019-01-14)3. Intel Core i5-8500T: Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)4. Pentium Gold G6400: Inkscape 0.92.4 (5da689c313, 2019-01-14)5. Raspberry Pi 4: Inkscape 0.92.4 (5da689c313, 2019-01-14)

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 411002200330044005500SE +/- 3.21, N = 3SE +/- 18.22, N = 3SE +/- 2.73, N = 3SE +/- 6.69, N = 31199945183510205235
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyBench 2018-02-16Performance Per Core - Total For Average Test TimesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 44K8K12K16K20K23983780110102040209401. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyBench 2018-02-16Performance Per Thread - Total For Average Test TimesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 44K8K12K16K20K23987560110104080209401. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyBench 2018-02-16Performance Per Clock - Total For Average Test TimesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 42K4K6K8K10K4076.64063.54080.07852.51. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 49001800270036004500Min: 1193 / Avg: 1199 / Max: 1204Min: 1814 / Avg: 1834.67 / Max: 1871Min: 1016 / Avg: 1019.67 / Max: 1025Min: 5223 / Avg: 5235.33 / Max: 5246

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 44080120160200SE +/- 2.67, N = 3SE +/- 0.33, N = 3651871729434-lSM -lICE-lSM -lICE-lSM -lICE-lSM -lICE-lfreetype -lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: SwirlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4112233445532.5046.7528.6747.008.501. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: SwirlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 481624324032.5023.3828.6723.508.501. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: SwirlCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4102030405019.1243.4923.5022.671. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150Min: 182 / Avg: 187.33 / Max: 190Min: 33 / Avg: 33.67 / Max: 341. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.0.0Time To OCR 7 ImagesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4306090120150SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 354.8025.0130.87136.50
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTesseract OCR 4.0.0Performance Per Core - Time To OCR 7 ImagesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4120240360480600109.60100.0461.74546.021. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTesseract OCR 4.0.0Performance Per Thread - Time To OCR 7 ImagesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4120240360480600109.60200.08123.48546.021. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTesseract OCR 4.0.0Performance Per Clock - Time To OCR 7 ImagesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 44080120160200186.31107.54123.48204.761. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.0.0Time To OCR 7 ImagesCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4306090120150Min: 54.78 / Avg: 54.8 / Max: 54.82Min: 24.98 / Avg: 25.01 / Max: 25.06Min: 30.84 / Avg: 30.87 / Max: 30.89Min: 136.39 / Avg: 136.5 / Max: 136.72

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 440K80K120K160K200KSE +/- 21.42, N = 3SE +/- 1165.70, N = 3SE +/- 223.75, N = 3SE +/- 969.55, N = 3SE +/- 7.97, N = 353412.28179882.44143584.3088892.1033030.561. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Core, More Is BetterCoremark 1.0Performance Per Core - CoreMark Size 666 - Iterations Per SecondCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 410K20K30K40K50K26706.1444970.6123930.7244446.058257.641. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgIterations/Sec Per Thread, More Is BetterCoremark 1.0Performance Per Thread - CoreMark Size 666 - Iterations Per SecondCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 46K12K18K24K30K26706.1422485.3123930.7222223.028257.641. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgIterations/Sec Per GHz, More Is BetterCoremark 1.0Performance Per Clock - CoreMark Size 666 - Iterations Per SecondCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 49K18K27K36K45K15709.4941833.1322223.0222020.371. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430K60K90K120K150KMin: 53370.69 / Avg: 53412.28 / Max: 53442Min: 177922.75 / Avg: 179882.44 / Max: 181956.03Min: 143352.05 / Avg: 143584.3 / Max: 144031.69Min: 87022.73 / Avg: 88892.1 / Max: 90273.08Min: 33015.68 / Avg: 33030.56 / Max: 33042.961. (CC) gcc options: -O2 -lrt" -lrt

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 450100150200250SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.66, N = 356.7440.7057.4347.34214.86
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: AntialiasCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000113.48162.80344.5594.68859.441. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: AntialiasCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 42004006008001000113.48325.61344.55189.36859.441. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: AntialiasCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 470140210280350192.92175.01189.36322.291. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 44080120160200Min: 56.71 / Avg: 56.74 / Max: 56.77Min: 40.64 / Avg: 40.7 / Max: 40.74Min: 57.38 / Avg: 57.43 / Max: 57.47Min: 47.09 / Avg: 47.34 / Max: 47.48Min: 213.67 / Avg: 214.86 / Max: 215.94

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 44080120160200SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 1.11, N = 338.3730.7445.2633.04161.31
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Tile GlassCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 414028042056070076.75122.98271.5466.09645.251. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Tile GlassCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 414028042056070076.75245.95271.54132.17645.251. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Tile GlassCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 450100150200250130.47132.20132.17241.971. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4306090120150Min: 38.35 / Avg: 38.37 / Max: 38.41Min: 30.69 / Avg: 30.74 / Max: 30.82Min: 44.82 / Avg: 45.26 / Max: 45.59Min: 32.86 / Avg: 33.04 / Max: 33.22Min: 159.51 / Avg: 161.31 / Max: 163.32

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 470140210280350SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.72, N = 3SE +/- 0.13, N = 3SE +/- 1.27, N = 379.5062.3793.3568.48326.61
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Wavelet BlurCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430060090012001500159.01249.49560.11136.961306.421. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Wavelet BlurCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 430060090012001500159.01498.98560.11273.911306.421. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Wavelet BlurCeleron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4110220330440550270.31268.20273.91489.911. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 460120180240300Min: 79.49 / Avg: 79.5 / Max: 79.53Min: 62.26 / Avg: 62.37 / Max: 62.56Min: 92.41 / Avg: 93.35 / Max: 94.78Min: 68.22 / Avg: 68.48 / Max: 68.62Min: 324.64 / Avg: 326.61 / Max: 328.99

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4918273645SE +/- 0.009, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 3SE +/- 0.001, N = 3SE +/- 0.040, N = 310.1818.12210.4418.66741.587-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterLAME MP3 Encoding 3.100Performance Per Core - WAV To MP3Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4408012016020020.3632.4962.6517.33166.351. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 43. Intel Core i5-8500T: Detected core count of 64. Pentium Gold G6400: Detected core count of 25. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterLAME MP3 Encoding 3.100Performance Per Thread - WAV To MP3Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4408012016020020.3664.9862.6534.67166.351. Celeron G5900: Detected thread count of 22. Core i3 10100: Detected thread count of 83. Intel Core i5-8500T: Detected thread count of 64. Pentium Gold G6400: Detected thread count of 45. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterLAME MP3 Encoding 3.100Performance Per Clock - WAV To MP3Celeron G5900Core i3 10100Pentium Gold G6400Raspberry Pi 4142842567034.6234.9334.6762.381. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Celeron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4918273645Min: 10.17 / Avg: 10.18 / Max: 10.2Min: 8.12 / Avg: 8.12 / Max: 8.13Min: 10.42 / Avg: 10.44 / Max: 10.47Min: 8.67 / Avg: 8.67 / Max: 8.67Min: 41.54 / Avg: 41.59 / Max: 41.671. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansIntel Core i5-8500TPentium Gold G6400Raspberry Pi 45K10K15K20K25KSE +/- 51.30, N = 4SE +/- 73.12, N = 44170413521087
OpenBenchmarking.orgmsec x Core, Fewer Is BetterDaCapo Benchmark 9.12-MR1Performance Per Core - Java Test: TradebeansIntel Core i5-8500TPentium Gold G6400Raspberry Pi 420K40K60K80K100K250208270843481. Intel Core i5-8500T: Detected core count of 62. Pentium Gold G6400: Detected core count of 23. Raspberry Pi 4: Detected core count of 4
OpenBenchmarking.orgmsec x Thread, Fewer Is BetterDaCapo Benchmark 9.12-MR1Performance Per Thread - Java Test: TradebeansIntel Core i5-8500TPentium Gold G6400Raspberry Pi 420K40K60K80K100K2502016540843481. Intel Core i5-8500T: Detected thread count of 62. Pentium Gold G6400: Detected thread count of 43. Raspberry Pi 4: Detected thread count of 4
OpenBenchmarking.orgmsec x GHz, Fewer Is BetterDaCapo Benchmark 9.12-MR1Performance Per Clock - Java Test: TradebeansPentium Gold G6400Raspberry Pi 47K14K21K28K35K16540.031630.51. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 2. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansIntel Core i5-8500TPentium Gold G6400Raspberry Pi 44K8K12K16K20KMin: 4076 / Avg: 4169.5 / Max: 4278Min: 20941 / Avg: 21086.75 / Max: 21283

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 4150300450600750SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 9.85, N = 9400.35157.07144.01322.19680.081. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterC-Ray 1.1Performance Per Core - Total Time - 4K, 16 Rays Per PixelCeleron G5900Core i3 10100Intel Core i5-8500TPentium Gold G6400Raspberry Pi 46001200180024003000800.70628.27864.06644.382720.321. Celeron G5900: Detected core count of 22. Core i3 10100: Detected core count of 4